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Click here for Roman's personal webpage.
- E. Cizl, J. Svancara and R. Bartak. The Effectiveness of Autonomous Intersections in a City. In International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2024.
- J. Mestek and R. Bartak. Multi-Agent Path Finding: Policies Instead of Plans. In International Conference on Agents and Artificial Intelligence (ICAART), 95-104, 2024.
- A. Natan, M. Kalech and R. Bartak. Diagnosis of Intermittent Faults in Multi-Agent Systems: An SFL Approach. Artificial Intelligence, 324, 103994, 2023.
- J. Svancara, P. Obermeier, M. Husar, R. Bartak and T. Schaub. Multi-Agent Pathfinding on Large Maps Using Graph Pruning: This Way or That Way?. In International Conference on Agents and Artificial Intelligence (ICAART), 199-206, 2023.
- M. Husar, J. Svancara, P. Obermeier, R. Bartak and T. Schaub. Reduction-Based Solving of Multi-Agent Pathfinding on Large Maps Using Graph Pruning. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 624-632, 2022.
- J. Svancara, M. Ivanova and R. Bartak. Coordinated Collision-Free Movement of Groups of Agents. In International Conference on Agents and Artificial Intelligence (ICAART), 26-33, 2022.
- J. Svancara and R. Bartak. Tackling Train Routing via Multi-Agent Pathfinding and Constraint-Based Scheduling. In International Conference on Agents and Artificial Intelligence (ICAART), 306-313, 2022.
- R. Bartak, M. Ivanova and J. Svancara. Colored Multi-Agent Path Finding: Solving Approaches. In International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2021.
- M. Nekvinda and R. Bartak. Contingent Planning for Robust Multi-Agent Path Finding. In IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 487-492, 2021.
- D. Atzmon, R. Stern, A. Felner, G. Wagner, R. Bartak and N.-F. Zhou. Robust Multi-Agent Path Finding and Executing. Journal of Artificial Intelligence Research (JAIR), 67, 549-579, 2020.
- V. Skopkova, R. Bartak and J. Svancara. What Does Multi-Agent Path-Finding Tell Us About Intelligent Intersections. In International Conference on Agents and Artificial Intelligence (ICAART), 250-257, 2020.
- J. Vodrazka, R. Bartak and J. Svancara. On Modelling Multi-Agent Path Finding as a Classical Planning Problem. In IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 23-28, 2020.
- R. Stern, N. Sturtevant, A. Felner, S. Koenig, H. Ma, T. Walker, J. Li, D. Atzmon, L. Cohen, S. Kumar, E. Boyarski and R. Bartak. Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks [Position Paper]. In Symposium on Combinatorial Search (SoCS), (in print), 2019.
- J. Svancara, M. Vlk, R. Stern, D. Atzmon and R. Bartak. Online Multi-Agent Pathfinding. In AAAI Conference on Artificial Intelligence (AAAI), (in print), 2019.
- J. Svancara and R. Bartak. Combining Strengths of Optimal Multi-Agent Path Finding Algorithms. In International Conference on Agents and Artificial Intelligence (ICAART), 226-231, 2019.
- R. Bartak, J. Svancara, V. Skopkova, D. Nohejl and I. Krasicenko. Multi-Agent Path Finding on Real Robots. AI Communication, 32, (3), 175-189, 2019.
- D. Atzmon, R. Stern, A. Felner, G. Wagner, R. Bartak and N. Zhou. Robust Multi-Agent Path Finding. In Symposium on Combinatorial Search (SoCS), 2-9, 2018.
- R. Bartak, J. Svancara, V. Skopkova and D. Nohejl. Multi-Agent Path Finding on Real Robots: First Experience with Ozobots. In Ibero-American Conference on Artificial Intelligence (IBERAMIA), 290-301, 2018. Best IBERAMIA Paper Award.
- R. Bartak, J. Svancara and M. Vlk. A Scheduling-Based Approach to Multi-Agent Path Finding with Weighted and Capacitated Arcs. In International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), 748-756 , 2018.
- R. Bartak, J. Svancara and M. Vlk. Scheduling Models for Multi-Agent Path Finding. In Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA), 189-200, 2017.
- R. Bartak, N. Zhou, R. Stern, E. Boyarski and P. Surynek. Modeling and Solving the Multi-Agent Pathfinding Problem in Picat. In International Conference on Tools with Artificial Intelligence (ICTAI), 959-966, 2017.
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